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Enregistrement W112047905

A Napster for Financial Data? A Boon to Financial Planners and Individual Investors

2003· article· en· W112047905 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueJournal of accountancy online/Journal of accountancy · 2003
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueFinancial Reporting and XBRL
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFinanceXBRLBusinessAudit trailEconomicsAuditAccounting
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Imagine this: any time of the day or night, and with just a few clicks of the mouse, a financial planner or an individual investor can access a company's present and past financial reports in extraordinary detail. In addition, an array of instant analyses of those data can be performed, which displays them either graphically or as conventional financial statements. Within seconds a user can compare a company's balance sheets with those of several competitors, examine an enterprise's debt-to-equity ratio in any fiscal period, chart its stock price history and download an audit client's major nonfinancial news. As if that's not enough, the same range of analyses can be performed for any public company worldwide and the information even can be converted into any currency. No way, you're probably thinking. At least not in my lifetime. Think again. All the underlying technology--XBRL (Extensible Business Reporting Language)--for it is available right now. All that's missing is a standardized protocol to implement it--and the first steps for creating such a protocol to perform those feats have been taken. A team comprising the Nasdaq Stock Market, Microsoft and PricewaterhouseCoopers just launched a pilot project designed to demonstrate that the concept of making both the data and the analysis tools available on the Internet is not only feasible but both practical and sought by financial professionals, investors and regulators. If you want to see what the future looks like, just point your Web browser to www.nasdaq.com/xbrl (see exhibit 1, below) and download a free demonstration file called the Excel Investor's Assistant. You'll need Excel 2000 or later to run the demo. [EXHIBIT 1 OMITTED] Once you're at the site, follow the instructions to install the pilot. When done, click on the file, Excel Investors Assistant.xls. You will be asked whether you want Excel to enable macros; you do, so click on the Enable Macros box (see exhibit 2, at right). [EXHIBIT 2 OMITTED] That will bring up the opening screen of Investor's Assistant (see exhibit 3, below). [EXHIBIT 3 OMITTED] The Investor's Assistant file contains two components: an Excel spreadsheet with built-in data analysis macros and formulas and a linked database that contains five years of financial information on 21 companies. The financial information, however, is not just raw data--that is, it's not just a compilation of financial numbers. Instead, each item in the database has been labeled with an XBRL tag that identifies the item as, for example, revenue, profit or short-range debt. The XBRL tags are based on standardized accounting definitions customized for various industries. (For more on XBRL, see Finally, Business Talks the Same Language, JofA, Aug.00, page 24.) A growing number of accounting software developers are incorporating XBRL into their products so a tag automatically gets attached to each item of financial information as it is entered and subsequently calculated by the accounting software. The tags eventually will be useful for anyone compiling both internal and external financial reports and tax returns. Because many industries have unique categories of financial data, an international consortium of more than 170 companies is preparing customized XBRL dictionaries, called taxonomies, that optimize the XBRL definitions so the tags can handle any special reporting structure. The goal is to make XBRL a fully universal financial information language that is both automatically attached to the data and transparent to the viewer. The XBRL International consortium was founded by the AICPA in 1999 and currently has active chapters in Australia, Canada, Germany, Japan, the United Kingdom, United States and Singapore. Chapters are being developed in Belgium, Hong Kong, India, Ireland, the Netherlands, New Zealand, South Africa, Spain, Sweden and Taiwan. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,008
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,168
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,008
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,005
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,063
Tête enseignante GPT0,291
Écart entre enseignants0,227 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle